Quantitative Market Risk Analyst information
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$56.5K - $73.2K
4% of jobs
$73.2K - $89.9K
10% of jobs
$89.9K - $106.5K
10% of jobs
$108.8K is the 25th percentile. Wages below this are outliers.
$106.5K - $123.2K
12% of jobs
The median wage is $129.1K / yr.
$123.2K - $139.9K
43% of jobs
$139.9K - $156.6K
9% of jobs
$156.6K - $173.3K
11% of jobs
$173.3K - $190K
0% of jobs
$190K - $206.6K
1% of jobs
$206.6K - $223.3K
2% of jobs
$223.3K - $240K
0% of jobs
How much do quantitative market risk analyst jobs pay per year?
As of Sep 9, 2026, the average yearly pay for quantitative market risk analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.
A Quantitative Market Risk Analyst is responsible for identifying, measuring, and managing financial risks that arise from market movements, such as changes in interest rates, currency values, and stock prices. They use mathematical models and statistical techniques to analyze financial data, assess risk exposures, and help develop strategies to mitigate potential losses. Their work supports banks, investment firms, and other financial institutions in making informed decisions and complying with regulatory requirements. Quantitative Market Risk Analysts often collaborate with traders, portfolio managers, and compliance teams to ensure robust risk management processes are in place.
To thrive as a Quantitative Market Risk Analyst, you need a strong background in mathematics, statistics, finance, and risk management, often supported by a relevant degree such as in finance, mathematics, or engineering. Familiarity with risk modeling tools (like VaR models), programming languages (such as Python, R, or MATLAB), and financial software systems is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and conveying risk insights to stakeholders. These competencies are essential to accurately assess, model, and communicate market risks, helping organizations make informed strategic decisions.
Quantitative Market Risk Analysts often encounter challenges such as ensuring the accuracy of data inputs, selecting appropriate modeling techniques, and keeping up with rapidly changing market conditions. Balancing the complexity of models with interpretability for stakeholders is also a frequent hurdle. Collaboration with IT teams, traders, and other risk professionals is essential to refine models and validate their effectiveness, making strong communication skills just as important as technical expertise.
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